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Lawrence Livermore National Laboratory · 2 weeks ago

Senior Data Officer/Principal Data Officer for Infrastructure Applications Program (IAP) - Active Security Clearance Required

Livermore, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$179K/yr - $227K/yr

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security through innovative solutions. The Senior Data Officer/Principal Data Officer will lead data governance initiatives and collaborate with various stakeholders to ensure effective data management and compliance with cybersecurity requirements.

Information TechnologyMarket ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Collaborate closely with the IAP Leader to implement and evolve the data governance strategy, ensuring alignment with LLNL and NA-90 directives and cybersecurity requirements

Develop and maintain a comprehensive suite of documents to support the IAP data governance strategy, including documentation on data lineage, provenance, flows, roadmaps, and attribute crosswalks spanning internal and federal data systems

Collaborate with IAP application product managers and LLNL cybersecurity teams to implement the documented data governance strategy, ensuring consistent and robust practices across all enterprise and site products

Coordinate with other NNSA Laboratories, Plants, and Sites (LPS) to ensure alignment with site-specific data governance requirements

Conduct regularly scheduled audits and comprehensive assessments of IAP products to validate proper implementation of the data governance strategy and identify potential risks to future data access. As risks are identified, develop effective mitigation strategies to ensure the secure and successful delivery of IAP products

Prepare and deliver clear, high-quality reports, presentations, and briefings to senior leadership, stakeholders, and NNSA headquarters in support of data integration initiatives and governance requirements

Develop and implement AI output validation tests to ensure Bernie AI’s advanced systems operate as intended, appropriately partitioning data based on user roles and meeting all security requirements

Foster a collaborative and inclusive work environment, promoting teamwork and open communication among all team members

Perform other duties as assigned

Lead and conduct advanced audits and comprehensive assessments of IAP products, applying in-depth analysis of both tangible and intangible factors to validate data governance implementation and proactively identify risks to future data access

Develop and execute robust mitigation strategies for identified risks, ensuring secure and successful delivery of IAP products in complex and evolving environments

Represent IAP on internal and NNSA technical or operational committees, offering strategic technical guidance and recommendations on data integration and governance matters

Design and implement advanced AI output validation tests for Bernie AI, applying best-practice technical and business principles to ensure secure, accurate, and compliant data partitioning and access

Qualification

Data governanceData management softwareAnalytical skillsPresentation skillsCybersecurity frameworksAI output validationInfrastructure modeling toolsCross-functional collaborationProject managementStakeholder managementProblem-solving skillsCommunication skillsAttention to detail

Required

This position requires an active Department of Energy (DOE) Q-level clearance or active Top-Secret clearance issued by another U.S. government agency at the time of hire

Bachelor's degree in Infrastructure Management, Information Systems, Project Management, Engineering Technologies, or an equivalent combination of education and related experience

Significant quantitative, analytical, and problem-solving skills, with strong attention to detail and the ability to drive data integration projects

Advanced written, verbal, and presentation skills, with the ability to communicate complex data relationships and dependencies to diverse audiences

Significant experience driving cross-functional data integration across multidisciplinary teams and coordinating with multiple stakeholders, including federal agencies

Advanced proficiency in data management software and tools, with the ability to provide oversight of cross-product data sources requiring advanced understanding of diverse structures and dependencies

Ability to work efficiently under pressure, effectively manage competing priorities, and meet tight deadlines in a dynamic, fast-paced environment

Preferred

Extensive experience with real property infrastructure modeling and simulation tools, including federal tools such as BUILDER, G2, FIMS, and Hexagon EAM

Advanced expertise in DOE, NNSA, and LLNL data governance, cybersecurity frameworks and technical data integration tools (e.g., Toad, Visio, SQL Developer)

Proven ability to facilitate complex interoperability and cross-site integrations, translating technical data concepts into executive-level insights for strategic decision making

Exceptional stakeholder management skills and commitment to ongoing professional development in infrastructure analytics and emerging data technologies

Advanced knowledge in Enterprise and LLNL infrastructure data integration, project delivery, or a related discipline, with a proven track record of successfully integrating complex infrastructure data sources

Recognized subject matter expert in NNSA/DOE enterprise and LLNL infrastructure data integration, with a history of successfully integrating highly complex infrastructure data sources through comprehensive analysis of multiple tangible and intangible factors